Sprig

Sprig is an AI-powered product experience platform designed to help teams optimize product adoption, retention, and satisfaction at scale. It provides tools for capturing user behavior, gathering feedback, and generating AI-driven insights to improve product performance.

Key features:
- Replays: Capture targeted user behavior video clips with AI that analyzes and groups clips into actionable product themes.
- Heatmaps: Visualize users' in-product clicks, scrolls, and movements to see exactly how they interact with your product.
- Surveys: Listen and learn from targeted users right within your product.
- Feedback: Continuously capture user feedback within your product or website.
- AI Explorer: Surface AI-powered issues and opportunities from your product experience data.
- AI Recommendations: Receive AI-generated recommendations to enhance your product's potential.

How it works:
1. Observe user behavior with Replays and Heatmaps
2. Understand user sentiment with Surveys and Feedback
3. Analyze insights with AI Explorer and Recommendations

Integrations:
- Enrichment: Census, Segment
- Analytics: Mixpanel, Amplitude
- Experimentation: LaunchDarkly, Optimizely
- Collaboration: Slack, Zapier

Use of AI:
Sprig leverages AI to analyze user behavior and feedback. The platform uses AI to group video clips into actionable themes, surface issues and opportunities, and generate recommendations for product improvements.

AI foundation model:
Sprig's AI Explorer and Recommendations features are powered by GPT-based models that analyze product experience data and generate insights.

Target users:
- Product managers
- User researchers
- Customer experience teams
- Engineering teams

How to access:
Sprig is available as a web-based SaaS platform. Users can sign up for a free trial, with paid plans starting at $175 per month.